Triple

T20511582
Position Surface form Disambiguated ID Type / Status
Subject Dana Holding Corporation E503577 entity
Predicate formerName P65 FINISHED
Object Dana Corporation E503577 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dana Corporation | Statement: [Dana Holding Corporation, formerName, Dana Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dana Corporation
Context triple: [Dana Holding Corporation, formerName, Dana Corporation]
  • A. Dana Holding Corporation chosen
    Dana Holding Corporation is a global supplier of driveline, sealing, and thermal-management technologies for automotive and commercial vehicle manufacturers.
  • B. Nalco Company
    Nalco Company is a global water treatment and process improvement firm known for producing industrial chemicals, including the oil spill dispersant Corexit 9500A.
  • C. Marcus Corporation
    Marcus Corporation is a U.S.-based company best known for its movie theatre and hospitality businesses, including operating cinema chains and hotels.
  • D. Brown Company
    Brown Company was a historically significant pulp and paper manufacturer that played a central role in the industrial and economic development of Berlin, New Hampshire.
  • E. Rand Company
    Rand Company was an American industrial firm known for manufacturing heavy machinery and equipment, which later became part of the Dresser-Rand corporate lineage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dcb8f5c8190b0d4c09f3669a8ec completed April 20, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a089d36f4688190a084267f85744cc0 completed May 16, 2026, 4:37 p.m.
Created at: April 16, 2026, 11:36 a.m.